Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15198
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dc.contributor.authorBUYSE, Marc-
dc.contributor.authorMichiels, Stefan-
dc.date.accessioned2013-06-05T11:46:23Z-
dc.date.available2013-06-05T11:46:23Z-
dc.date.issued2013-
dc.identifier.citationCURRENT OPINION IN ONCOLOGY, 25 (3), p. 289-295-
dc.identifier.issn1040-8746-
dc.identifier.urihttp://hdl.handle.net/1942/15198-
dc.description.abstractPurpose of review The derivation of signatures using -omics technologies is increasingly integrated in the design of clinical trials in oncology. In this review, we investigate the clinical trial designs for the validation of prognostic and predictive signatures. Recent findings Using real-life breast cancer trial examples, we highlight the pros and cons of clinical utility designs for prognostic signatures. For predictive signatures, we first review alternative procedures to test the effect of treatment in the overall population as well as in the signature-positive or signature-negative subgroup. We proceed to show why the recent literature on signature-based strategy designs discourages the use of this design. We conclude by discussing adaptive signature designs to identify and validate a signature in a single trial using cross-validation techniques. Summary Use of -omics technologies should not be an add-on to clinical trials, it must become an integral part of their design.-
dc.language.isoen-
dc.publisherLIPPINCOTT WILLIAMS & WILKINS-
dc.subject.otherclinical trials; genomics; predictive biomarker; prognostic biomarker; signature-
dc.subject.otherOncology; clinical trials; genomics; predictive biomarker; prognostic biomarker; signature-
dc.titleOmics-based clinical trial designs-
dc.typeJournal Contribution-
dc.identifier.epage295-
dc.identifier.issue3-
dc.identifier.spage289-
dc.identifier.volume25-
local.format.pages7-
local.bibliographicCitation.jcatA1-
dc.description.notesBuyse, M (reprint author) Int Inst Drug Dev, B-1340 Louvain, Belgium. Hasselt Univ, Interuniv Inst Biostat, Hasselt, Belgium. Inst Gustave Roussy, Dept Biostat & Epidemiol, Paris, France. marc.buyse@iddi.com-
local.publisher.placePHILADELPHIA-
local.type.refereedRefereed-
local.type.specifiedReview-
dc.identifier.doi10.1097/CCO.0b013e32835ff2fe-
dc.identifier.isi000317114300012-
item.fullcitationBUYSE, Marc & Michiels, Stefan (2013) Omics-based clinical trial designs. In: CURRENT OPINION IN ONCOLOGY, 25 (3), p. 289-295.-
item.fulltextNo Fulltext-
item.validationecoom 2014-
item.contributorBUYSE, Marc-
item.contributorMichiels, Stefan-
item.accessRightsClosed Access-
crisitem.journal.issn1040-8746-
crisitem.journal.eissn1531-703X-
Appears in Collections:Research publications
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